Triple

T28006915
Position Surface form Disambiguated ID Type / Status
Subject Al-Takhwif min al-Nar E707301 entity
Predicate aimsToContrast P120964 FINISHED
Object worldly pleasures and eternal punishment LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: worldly pleasures and eternal punishment | Statement: [Al-Takhwif min al-Nar, aimsToContrast, worldly pleasures and eternal punishment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aimsToContrast
Context triple: [Al-Takhwif min al-Nar, aimsToContrast, worldly pleasures and eternal punishment]
  • A. achievesContrast
    Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
  • B. contrastGoal chosen
    Indicates a relationship where one goal is defined in opposition to, or as a contrasting alternative to, another goal.
  • C. aimsToDistinguish
    Indicates an intention or effort by one entity to set itself or something else apart from others by highlighting differences or unique characteristics.
  • D. contrastUse
    Indicates that one entity is used in opposition or distinction to another to highlight differences between them.
  • E. createsContrastIn
    Indicates a relationship where one element is used to highlight or emphasize differences with another element within a given context.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ef96ba350c81908230d0b501b974c4 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 8:01 p.m.